shuaizhang's profile - activity

overview network karma followed questions activity

2019-10-24 20:26:15 -0600	edited answer	copyTo don't work change temp.copyTo( picMat.submat( rects.get(0)) ); to temp.copyTo( picMat.submat( rec
2019-10-24 20:25:22 -0600	received badge	● Editor (source)
2019-10-24 20:25:22 -0600	edited answer	copyTo don't work change temp.copyTo( picMat.submat( rects.get(0)) ); to temp.copyTo( picMat.submat( rects.get(0)), temp.clone() );
2019-10-24 20:24:32 -0600	answered a question	copyTo don't work change <<temp.copyto( picmat.submat(="" rects.get(0))="" );>>="" <br=""> to <<temp.cop
2019-10-24 03:53:10 -0600	received badge	● Supporter (source)
2019-09-09 00:11:53 -0600	received badge	● Enthusiast
2019-09-08 22:41:23 -0600	asked a question	DNN do not support tf.tile DNN do not support tf.tile how to define custom Tile layer in dnn?
2019-08-29 00:55:36 -0600	marked best answer	opencv4.1.1 dnn readNetFromTensorflow error I have defined a keras model(.h5), and coverted to tensorflow (.pb). And it works on tensorflow : pb_path = r'.pb' with tf.gfile.FastGFile(pb_path, 'rb') as f: graph_def = tf.GraphDef() graph_def.ParseFromString(f.read()) _ = tf.import_graph_def(graph_def, name='') with tf.Session() as session: input = tf.get_default_graph().get_tensor_by_name("input_1:0") output_1 = tf.get_default_graph().get_tensor_by_name("trans/out_13/yolo_head/out_/concat:0") output_2 = tf.get_default_graph().get_tensor_by_name("trans/out_26/yolo_head/out_/concat:0") output_3 = tf.get_default_graph().get_tensor_by_name("trans/out_52/yolo_head/out_/concat:0") img = Image.open('/home/hyg/disk2/quanda_data/crop/1.png') boxed_image = letterbox_image(img, (416, 416)) img = np.array(boxed_image, dtype='float32') img = 1./255. img = np.expand_dims(img, axis=0) out = session.run([output_1,output_2,output_3], feed_dict={input: img}) But when I use cv.dnn.readNetFromTensorflow("*.pb") `cv2.error: OpenCV(4.1.0) /io/opencv/modules/dnn/src/tensorflow/tf_importer.cpp:1383: error: (-215:Assertion failed) scaleMat.type() == CV_32FC1 in function 'populateNet'` So, I try to use the tensorflow tools (optimize_for_inference.py) to optimize the model Use tf.compat.v1.graph_util.remove_training_nodes WARNING:tensorflow:Didn't find expected Conv2D input to 'batch_normalization_2/FusedBatchNorm_1' WARNING:tensorflow:Didn't find expected Conv2D input to 'batch_normalization_4/FusedBatchNorm_1' WARNING:tensorflow:Didn't find expected Conv2D input to 'batch_normalization_7/FusedBatchNorm_1' WARNING:tensorflow:Didn't find expected Conv2D input to 'batch_normalization_10/FusedBatchNorm_1' WARNING:tensorflow:Didn't find expected Conv2D input to 'batch_normalization_13/FusedBatchNorm_1' WARNING:tensorflow:Didn't find expected Conv2D input to 'batch_normalization_16/FusedBatchNorm_1' WARNING:tensorflow:Didn't find expected Conv2D input to 'batch_normalization_19/FusedBatchNorm_1' WARNING:tensorflow:Didn't find expected Conv2D input to 'batch_normalization_22/FusedBatchNorm_1' WARNING:tensorflow:Didn't find expected Conv2D input to 'batch_normalization_25/FusedBatchNorm_1' WARNING:tensorflow:Didn't find expected Conv2D input to 'batch_normalization_28/FusedBatchNorm_1' WARNING:tensorflow:Didn't find expected Conv2D input to 'batch_normalization_31/FusedBatchNorm_1' WARNING:tensorflow:Didn't find expected Conv2D input to 'batch_normalization_34/FusedBatchNorm_1' WARNING:tensorflow:Didn't find expected Conv2D input to 'batch_normalization_37/FusedBatchNorm_1' WARNING:tensorflow:Didn't find expected Conv2D input to 'batch_normalization_40/FusedBatchNorm_1' WARNING:tensorflow:Didn't find expected Conv2D input to 'batch_normalization_43/FusedBatchNorm_1' WARNING:tensorflow:Didn't find expected Conv2D input to 'batch_normalization_46/FusedBatchNorm_1' WARNING:tensorflow:Didn't find expected Conv2D input to 'batch_normalization_49/FusedBatchNorm_1' WARNING:tensorflow:Didn't find expected Conv2D input to 'batch_normalization_52/FusedBatchNorm_1' WARNING:tensorflow:Didn't find expected Conv2D input to 'batch_normalization_55/FusedBatchNorm_1' WARNING:tensorflow:Didn't find expected Conv2D input to 'batch_normalization_58/FusedBatchNorm_1' WARNING:tensorflow:Didn't find expected Conv2D input to 'batch_normalization_61/FusedBatchNorm_1' WARNING:tensorflow:Didn't find expected Conv2D input to 'batch_normalization_64/FusedBatchNorm_1' WARNING:tensorflow:Didn't find expected Conv2D input to 'batch_normalization_67/FusedBatchNorm_1' WARNING:tensorflow:Didn't find expected Conv2D input to 'batch_normalization_70/FusedBatchNorm_1' WARNING:tensorflow:Didn't find expected Conv2D input to 'batch_normalization_73/FusedBatchNorm_1' WARNING:tensorflow:Didn't find expected Conv2D input to 'batch_normalization_76/FusedBatchNorm_1' WARNING:tensorflow:Didn't find expected Conv2D input to 'batch_normalization_79/FusedBatchNorm_1' WARNING:tensorflow:Didn't find expected Conv2D input to 'batch_normalization_82/FusedBatchNorm_1' WARNING:tensorflow:Didn't find expected Conv2D input to 'batch_normalization_85/FusedBatchNorm_1' WARNING:tensorflow:Didn't find expected Conv2D input ... (more)
2019-08-29 00:55:36 -0600	received badge	● Scholar (source)
2019-08-28 01:06:50 -0600	received badge	● Teacher (source)
2019-08-27 22:38:24 -0600	received badge	● Self-Learner (source)
2019-08-27 04:27:36 -0600	answered a question	opencv4.1.1 dnn readNetFromTensorflow error I found the problem. tensorflow.python.keras.layers .UpSampling2D , just like this: node { name: "up_sampling2d
2019-08-19 03:49:58 -0600	answered a question	opencv4.1.1 dnn readNetFromTensorflow error can any one help me ?
2019-08-16 01:56:27 -0600	asked a question	opencv4.1.1 dnn readNetFromTensorflow error opencv4.1.1 dnn readNetFromTensorflow error I have defined a keras model(.h5), and coverted to tensorflow (.pb). And it